Receiver platform motion compensation in passive radar

Palmer, J.; Ummenhofer, Martin; Summers, Ashley; Bournaka, Georgia; Palumbo, Simon; Cristallini, Diego

doi:10.1049/iet-rsn.2016.0516

Cited by 13 publications

(8 citation statements)

References 12 publications

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“…In this case, the TA channel is arbitrarily taken as reference and the LA channel is adjusted by multiplication with Γ 𝑐 ̂. In practice, the expected values in (7) are replaced by their estimates obtained over proper clutter regions. For instance, by selecting a rectangular clutter area with range extent limited between indexes l1 and l2 and Doppler extent limited between indexes m1 and m2, the calibration coefficient can be evaluated as:…”

Section: Two-stage Cancellation Approachmentioning

confidence: 99%

“…The authors in [5] and [6] consider the use of DPCA to suppress clutter returns against experimental data from an airborne FM-based passive radar and against simulated DVB-T data. The effects of signal mismatches on the correlation process for a moving passive radar are analysed in [7], while [8] investigates the effects of motion induced Doppler shift on reference signal reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Passive Radar DPCA Schemes With Adaptive Channel Calibration

Blasone

Colone

Lombardo

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

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This paper addresses the problem of direct signal interference (DSI) and clutter cancellation for passive radar systems on moving platforms employing displaced phase centre antenna (DPCA) approach. Attention is focused on the development of signal processing strategies able to compensate for the limitations deriving from amplitude and phase imbalances that affect the two channels employed on receive. First, we show that using the signal received from the illuminator of opportunity as a source for channels calibration might be ineffective when DSI and clutter echoes have different directions of arrival, due to the effect of angle-dependent channel imbalance. Then, a two-stage strategy is proposed, consisting of a preliminary DSI removal stage at each receive channel, followed by a clutter-based calibration approach that basically enables an effective DPCA clutter suppression. Different strategies for channel calibration are proposed, aimed at compensating for potential angle and range dependent channel errors, based on the maximization of the cancellation performance. Effectiveness of this scheme is shown against experimental data from a DVB-T based moving passive radar, in the presence of both real and synthetic moving targets.

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Section: Two-stage Cancellation Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Passive Radar DPCA Schemes With Adaptive Channel Calibration

Blasone

Colone

Lombardo

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

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“…The proposed MBWC is conceptually inspired by passive imaging schemes, which are widely utilized in the areas of radar and seismic exploration [19][20][21][22][23] . Passive imaging seeks to locate or detect an object of interest based on clutter signals or background noise and requires a directional reference antenna for calibrating the noncooperative illumination signal, or an antenna array for retrieving a so-called response matrix.…”

Section: Programmable Metasurface For Backscatter Communicationmentioning

confidence: 99%

Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals

et al. 2020

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Conventional wireless communication architecture, a backbone of our modern society, relies on actively generated carrier signals to transfer information, leading to important challenges including limited spectral resources and energy consumption. Backscatter communication systems, on the other hand, modulate an antenna's impedance to encode information into already existing waves but suffer from low data rates and a lack of information security. Here, we introduce the concept of massive backscatter communication which modulates the propagation environment of stray ambient waves with a programmable metasurface. The metasurface's large aperture and huge number of degrees of freedom enable unprecedented wave control and thereby secure and high-speed information transfer. Our prototype leveraging existing commodity 2.4 GHz Wi-Fi signals achieves data rates on the order of hundreds of Kbps. Our technique is applicable to all types of wave phenomena and provides a fundamentally new perspective on the role of metasurfaces in future wireless communication.

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“…Over the past years passive bistatic radar, also known as Passive Coherent Location (PCL), has attracted the attention of publications thanks to the advantages of PCL [1][2][3][4][5][6]. Unlike active radar, passive radar has various benefits such as low-cost hardware setup, operating covertly, reduced electromagnetic pollution, and operating without any required license.…”

Section: Introductionmentioning

confidence: 99%